Translation
Transformers
TensorBoard
PyTorch
Mixture of Experts
mixture-of-experts
fsdp
seq2seq
8k-context
document-packing
open-weights
free-for-all
Instructions to use AdithyanAI/Mythos_translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdithyanAI/Mythos_translation with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="AdithyanAI/Mythos_translation")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdithyanAI/Mythos_translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
📢 Welcome Early Collaborators: Pre-Release Discord Discussion & Planning
#1
by AdithyanAI - opened
Hi @suancaiyu , @SenseiNAS , @eviraznva , and @NeroClaudius !
Thank you all for requesting access to Mythos-2.04B-MoE!
The model is currently in pre-training across 500+ languages (with an 8-expert sparse routing architecture). Checkpoint access will be granted once the pre-training run converges.
In the meantime, we have launched our official Discord server to coordinate with researchers and developers on:
- Compute Pooling & Hardware Sponsorships (for scaling 4B/7B/14B models)
- Low-Resource Language Datasets & Native Audits
- Early Architecture Discussions & Checkpoint Testing
👉 Join our Discord community here: https://discord.gg/KKVN5BShGj
Looking forward to collaborating with everyone!